Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "32"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 32 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 34 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 34 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 32, Node N02:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2460017 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 19.479965 23.263555 1.402230 3.180511 3.675111 0.487834 8.105245 9.679692 0.4716 0.4712 0.2131 nan nan
2460016 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 22.344231 27.018109 1.573022 3.312939 0.271616 0.070348 4.627336 5.651662 0.4662 0.4715 0.1990 nan nan
2460015 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 19.573143 28.893747 1.354876 3.472044 4.240810 0.345571 12.765803 9.003828 0.5065 0.4845 0.2338 nan nan
2460014 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 10.287638 28.673221 0.482712 2.690136 8.905911 1.393757 4.517798 8.505374 0.5009 0.4408 0.2813 nan nan
2460013 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 23.811950 28.310502 1.717696 3.361390 0.325234 0.254790 3.215794 7.770501 0.4731 0.4781 0.2032 nan nan
2460012 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 22.508189 26.397515 1.519147 3.195368 0.470392 0.566971 4.688437 9.732242 0.4766 0.4824 0.2007 nan nan
2460011 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2460010 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2460009 RF_maintenance 100.00% 99.95% 99.95% 0.00% - - 227.903094 227.437491 inf inf 3135.668808 3094.382536 7972.968750 7697.155603 0.7377 0.5309 0.6083 nan nan
2460008 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2460007 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2459999 RF_maintenance 0.00% 99.83% 99.75% 0.00% - - nan nan nan nan nan nan nan nan 0.1509 0.3059 0.2451 nan nan
2459998 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 18.700143 21.195412 1.280233 3.052580 3.159119 0.605092 2.611552 5.564207 0.5001 0.5060 0.2331 nan nan
2459997 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 22.642938 20.529037 1.355183 3.074045 0.749758 5.169472 10.338400 38.499869 0.5065 0.5369 0.2503 nan nan
2459996 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 24.211414 23.654336 2.036286 4.420498 1.087093 7.141768 6.088913 28.827656 0.5111 0.5345 0.2431 nan nan
2459995 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 12.100974 27.509847 0.788481 3.655124 6.297031 0.772150 7.117091 9.757360 0.5646 0.5240 0.2879 nan nan
2459994 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 20.877255 26.254941 1.135012 3.347232 4.193360 0.571626 18.494575 8.665229 0.5236 0.5129 0.2500 nan nan
2459993 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 16.142121 27.647735 0.462997 3.003623 5.605447 1.224852 52.247469 10.434821 0.5387 0.5172 0.2808 nan nan
2459991 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 3.953082 32.447673 -0.429847 2.768864 0.665140 0.408389 4.004844 7.376646 0.6062 0.5143 0.3556 nan nan
2459990 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 6.878034 26.127916 0.321624 3.188143 3.547711 0.971753 29.240912 12.850209 0.5853 0.5126 0.3283 nan nan
2459989 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 9.132062 26.368432 0.458142 3.091282 6.317607 0.566419 9.479748 9.810811 0.5648 0.5117 0.3043 nan nan
2459988 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 9.463030 30.535798 0.363656 3.174617 6.926313 1.330123 48.559188 11.697644 0.5722 0.5112 0.3049 nan nan
2459987 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 8.782914 26.529180 0.411301 3.328758 5.731185 1.068200 3.343332 4.258585 0.5790 0.5231 0.3011 nan nan
2459986 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 17.345814 31.412542 0.648282 3.418329 4.636307 1.140939 6.644119 5.675024 0.5778 0.5510 0.2498 nan nan
2459985 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 17.786483 28.986671 0.594335 3.259287 2.017310 0.235202 39.504790 9.110816 0.5458 0.5149 0.2768 nan nan
2459984 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 24.403511 27.258824 1.231374 1.033424 0.731835 1.852401 0.389193 0.141460 0.5274 0.5476 0.2099 nan nan
2459983 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 4.022389 28.024813 0.183198 2.897088 4.046194 1.272759 8.925425 5.007363 0.6312 0.5773 0.2732 nan nan
2459982 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - -0.286398 21.206577 -0.315535 2.310211 0.497402 1.003242 0.416115 1.207833 0.6943 0.6201 0.2750 nan nan
2459981 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 0.711055 24.588535 -0.087558 3.011978 0.672600 0.914168 1.996934 8.640179 0.6194 0.5263 0.3576 nan nan
2459980 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - -0.348807 23.259464 -0.226783 2.730034 0.094822 0.554887 0.498857 2.965277 0.6687 0.5880 0.2924 nan nan
2459979 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - -0.673447 24.975387 -0.292530 2.625160 -0.255332 0.193608 0.156270 5.833249 0.6199 0.5221 0.3648 nan nan
2459978 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - 0.084754 25.510250 -0.256865 2.768179 0.098743 0.208522 2.048324 8.596420 0.6142 0.5202 0.3667 nan nan
2459977 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - -0.237661 26.398506 -0.220575 2.749989 -0.051598 0.455995 1.590344 6.073026 0.5848 0.4883 0.3300 nan nan
2459976 RF_maintenance 100.00% 0.00% 0.00% 0.00% - - -0.404804 26.307759 -0.207709 2.848470 -0.375388 0.455394 1.127551 7.709766 0.6289 0.5317 0.3586 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 32: 2460017

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Shape 23.263555 23.263555 19.479965 3.180511 1.402230 0.487834 3.675111 9.679692 8.105245

Antenna 32: 2460016

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Shape 27.018109 27.018109 22.344231 3.312939 1.573022 0.070348 0.271616 5.651662 4.627336

Antenna 32: 2460015

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Shape 28.893747 28.893747 19.573143 3.472044 1.354876 0.345571 4.240810 9.003828 12.765803

Antenna 32: 2460014

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Shape 28.673221 10.287638 28.673221 0.482712 2.690136 8.905911 1.393757 4.517798 8.505374

Antenna 32: 2460013

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Shape 28.310502 23.811950 28.310502 1.717696 3.361390 0.325234 0.254790 3.215794 7.770501

Antenna 32: 2460012

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Shape 26.397515 22.508189 26.397515 1.519147 3.195368 0.470392 0.566971 4.688437 9.732242

Antenna 32: 2460011

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 32: 2460010

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 32: 2460009

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance ee Power inf 227.903094 227.437491 inf inf 3135.668808 3094.382536 7972.968750 7697.155603

Antenna 32: 2460008

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Shape nan nan nan inf inf nan nan nan nan

Antenna 32: 2460007

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 32: 2459999

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Shape nan nan nan nan nan nan nan nan nan

Antenna 32: 2459998

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Shape 21.195412 18.700143 21.195412 1.280233 3.052580 3.159119 0.605092 2.611552 5.564207

Antenna 32: 2459997

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Temporal Discontinuties 38.499869 22.642938 20.529037 1.355183 3.074045 0.749758 5.169472 10.338400 38.499869

Antenna 32: 2459996

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Temporal Discontinuties 28.827656 24.211414 23.654336 2.036286 4.420498 1.087093 7.141768 6.088913 28.827656

Antenna 32: 2459995

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Shape 27.509847 12.100974 27.509847 0.788481 3.655124 6.297031 0.772150 7.117091 9.757360

Antenna 32: 2459994

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Shape 26.254941 20.877255 26.254941 1.135012 3.347232 4.193360 0.571626 18.494575 8.665229

Antenna 32: 2459993

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance ee Temporal Discontinuties 52.247469 16.142121 27.647735 0.462997 3.003623 5.605447 1.224852 52.247469 10.434821

Antenna 32: 2459991

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Shape 32.447673 3.953082 32.447673 -0.429847 2.768864 0.665140 0.408389 4.004844 7.376646

Antenna 32: 2459990

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance ee Temporal Discontinuties 29.240912 26.127916 6.878034 3.188143 0.321624 0.971753 3.547711 12.850209 29.240912

Antenna 32: 2459989

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Shape 26.368432 26.368432 9.132062 3.091282 0.458142 0.566419 6.317607 9.810811 9.479748

Antenna 32: 2459988

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance ee Temporal Discontinuties 48.559188 30.535798 9.463030 3.174617 0.363656 1.330123 6.926313 11.697644 48.559188

Antenna 32: 2459987

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Shape 26.529180 8.782914 26.529180 0.411301 3.328758 5.731185 1.068200 3.343332 4.258585

Antenna 32: 2459986

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Shape 31.412542 31.412542 17.345814 3.418329 0.648282 1.140939 4.636307 5.675024 6.644119

Antenna 32: 2459985

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance ee Temporal Discontinuties 39.504790 28.986671 17.786483 3.259287 0.594335 0.235202 2.017310 9.110816 39.504790

Antenna 32: 2459984

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Shape 27.258824 24.403511 27.258824 1.231374 1.033424 0.731835 1.852401 0.389193 0.141460

Antenna 32: 2459983

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Shape 28.024813 4.022389 28.024813 0.183198 2.897088 4.046194 1.272759 8.925425 5.007363

Antenna 32: 2459982

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Shape 21.206577 -0.286398 21.206577 -0.315535 2.310211 0.497402 1.003242 0.416115 1.207833

Antenna 32: 2459981

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Shape 24.588535 24.588535 0.711055 3.011978 -0.087558 0.914168 0.672600 8.640179 1.996934

Antenna 32: 2459980

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Shape 23.259464 23.259464 -0.348807 2.730034 -0.226783 0.554887 0.094822 2.965277 0.498857

Antenna 32: 2459979

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Shape 24.975387 -0.673447 24.975387 -0.292530 2.625160 -0.255332 0.193608 0.156270 5.833249

Antenna 32: 2459978

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Shape 25.510250 25.510250 0.084754 2.768179 -0.256865 0.208522 0.098743 8.596420 2.048324

Antenna 32: 2459977

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Shape 26.398506 -0.237661 26.398506 -0.220575 2.749989 -0.051598 0.455995 1.590344 6.073026

Antenna 32: 2459976

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
32 N02 RF_maintenance nn Shape 26.307759 26.307759 -0.404804 2.848470 -0.207709 0.455394 -0.375388 7.709766 1.127551
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